This is a python implementation of the board game Othello with Minmax Alpha Beta Pruning and MCTS. Powered by Numba for high-performance computation.
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Updated
May 24, 2024 - Python
This is a python implementation of the board game Othello with Minmax Alpha Beta Pruning and MCTS. Powered by Numba for high-performance computation.
AlphaZero based engine for the game of Go (圍棋/围棋).
Companion repository of the "Dancer in the Dark" paper.
This repository contains the material used to complete my Thesis for my BSc in Data Science and AI. My thesis attempts to explore the work started by previous alumni at my faculty which covered an algorithm variant of MCTS implementing a technique known as Sequential Halving, and I will attempt an algorithm using time constraints
#include-only, single header, custom written ai that can play ANY turn based game, including Boardgames, Card-games, hidden-info games, multiplayer games, and games with randomness.
Pytorch models based on the book "Neural networks for Chess" (https://github.com/asdfjkl/neural_network_chess)
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios
The decision-making of multiple vehicles at intersection bases on level-k game and MCTS
Quoridor AI based on Monte Carlo tree search
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
This is work-in-progress (WIP) refactored implementation of "Retreival-guided Reinforcement Learning for Boolean Circuit Minimization" work published in ICLR 2024.
Several agents that can play poker (using probability, monte carlo, etc.) and clustering to get the types of poker players.
A Deep Learning UCI-Chess Variant Engine written in C++ & Python 🦜
The best FFXIV crafting solver via hardware accelerated MCTS.
Research project: create a chess engine using Deep Reinforcement Learning
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